Feedstock Production

Agri_resd.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural residue.
total_resd: This indicates the in-field production of residue excluding grain in biomass dry ton.
prod: This indicates the total production of harvested residue in the scenario in biomass dry ton.
harv: This indicates the total harvested area in acres.

Agri_crop.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural crop.
prod: This indicates the total production of the agricultural crop in biomass dry ton.
plnt: This indicates the total planted area in acres.
harv: This indicates the total harvested area in acres.

The metadata for this dataset can be found in the attached file 'BT23_Updates_Med_70_metadata.xlsx'.

Resource: This indicates the feedstock resource name.
Scenario: This indicates the scenario name as defined in the 2023 Billion-Ton report.
Price offered: This indicates the price offered. (USD per dry short ton)
Production: This indicates the amount of resource modeled as produced under the scenario simulation. (dry short ton)

1) PRISM Yield

This dataset provides yield output from PRISM by resource and FIPS code. For herbaceous energy resources, it includes the average annual mature above-ground yield. For woody resources, such as poplar and willow, it provides the mean annual increment (MAI).

Note: This dataset does not include harvest efficiency, scenario improvement factors, planting year, harvest year, or the annual yield factor.

File: agyield_prism.csv.zip

Field definitions are as follows:

resource: crop or resource.

FIPS: county FIPS code.

yieldPRISM: theoretical mature annual yield from PRISM for the county FIPS code.

yieldUnit: yield value unit.

_id_: identifier.



2) Base Harvestable MAI

This dataset contains the average annual yield over the rotation period by resource and FIPS code, for both herbaceous and woody energy resources. It is derived from the PRISM yield data and incorporates the annual yield factor and harvest efficiency. However, it does not account for scenario-based improvements.

Yield = PRISM yield X Harvest Efficiency X Average Annual Yield Factor



File: agyield_base_harv_mai.csv.zip

Field definitions are as follows:

resource: crop or resource.

FIPS: county FIPS code.

yieldPRISM: theoretical mature annual yield from PRISM. This value can be found in the PRISM yield table, and it is used in this yield calculation.

harvestEfficiency: harvest efficiency for the crop.

meanAnnualYieldFactor: yield factor from the Mean Annual Yield Factor table for the crop and FIPS.

yield: calculated by multiplying the PRISM yield, harvest efficiency, and average annual yield factor.

yieldUnit: yield value unit.

_id_: identifier



3) Mature Harvestable Yield (or MAI) by Scenario

This dataset provides the mature harvestable yield for the energy resources and has been divided into two files: one for herbaceous crops (herb) and one for woody crops (SRWC):

Files:

Stand_Mature_Harvestable_Scenario_Yield_Herb.txt

StandMature_Harvestable_Scenario_Yield_Herb.zip, 5.74 MB



Stand_Mature_Harvestable_Scenario_MAI_SRWC.txt

StandMature_Harvestable_Scenario_MAI_SRWC.zip, 3.42 MB



This yield calculation begins with the PRISM yield and accounts for yield loss due to harvesting, as well as cumulative yield improvements based on the scenario and planting year. The scenario factor for future yield improvements depends on both the scenario and the crop’s planting.

Note: This dataset does not include the annual yield factor.

Yield [scenario, planted year] =

PRISM yield X Harvest Efficiency X Sum of Yield Improvements [scenario, planted year

Field definitions are as follows:

resource: crop or resource.

scenario: BT23 scenario which effects the scenario factor.

FIPS: county FIPS code.

plantYear: planted year.

yieldPRISM: theoretical mature annual yield from PRISM. This value can be found in the PRISM yield table, and it is used in this yield calculation.

harvestEfficiency: harvest efficiency for the crop.

scenarioFactor: sum of the yield improvements up through the planting year based on the scenario.

yield: this yield is calculated by multiplying the PRISM yield, harvest efficiency, and scenario factor.

yieldUnit: yield value unit.

_id_: identifier





4) Harvestable Yield for the Complete Crop Rotation by Scenario

This dataset provides the mature harvestable yield over the complete stand rotation for energy resources. It is provided by three files:

Files:

StandComplete_Harvestable_Scenario_Yield_Herb.txt (herbaceous crops)

StandComplete_Harvestable_Scenairo_Yield_Herb_Biomass_sorghum.zip, 1.82 MB

StandComplete_Harvestable_Scenairo_Yield_Herb_Energy_cane.zip, 2.53 MB

StandComplete_Harvestable_Scenairo_Yield_Herb_Miscanthus_High.zip, 5.16 MB

StandComplete_Harvestable_Scenairo_Yield_Herb_Miscanthus_Low.zip, 4.66 MB

StandComplete_Harvestable_Scenairo_Yield_Herb_Miscanthus_Med.zip, 5.1 MB

StandComplete_Harvestable_Scenairo_Yield_Herb_Switchgrass_High.zip, 4.24 MB

StandComplete_Harvestable_Scenairo_Yield_Herb_Switchgrass_Low.zip, 3.72 MB

StandComplete_Harvestable_Scenairo_Yield_Herb_Switchgrass_Med.zip, 4.23 MB



StandComplete_Harvestable_Scenario_MAI_SRWC.txt (woody crops - MAI)

StandComplete_Harvestable_Scenario_MAI_SRWC_Poplar_High.zip, 3.34 MB

StandComplete_Harvestable_Scenario_MAI_SRWC_Poplar_Low.zip, 2.85 MB

StandComplete_Harvestable_Scenario_MAI_SRWC_Poplar_Med.zip, 3.32 MB

StandComplete_Harvestable_Scenario_MAI_SRWC_Willow_High.zip, 5.16 MB

StandComplete_Harvestable_Scenario_MAI_SRWC_Willow_Low.zip, 4.68 MB

StandComplete_Harvestable_Scenario_MAI_SRWC_Willow_Med.zip,



StandComplete_Harvestable_Scenario_Yield_SRWC.txt (woody crops – harvestable yield)

StandComplete_Harvestable_Scenairo_Yield_SRWC.zip, 5.04 MB



This yield calculation begins with the PRISM yield and incorporates the following:

yield loss from harvesting

Cumulative yield improvements over time, based on the scenario and the planting year

Annual Yield Factor, which adjusts harvestable yield based on harvest age

Since the scenario factor for future yield improvements depends on the scenario and planting year, the mature yield remains fixed once the acreage is planted. The dataset provides harvestable yield values based on the planting year and harvest year, incorporating the Annual Yield Factor as a function of harvest age.

Yield [scenario, year planted, harvest age] = PRISM yield X Harvest Efficiency X Sum of Yield Improvements [scenario, year planted] X Annual Yield Factor [harvest age]

Field definitions are as follows:

resource: crop or resource.

scenario: BT23 scenario which effects the scenario factor.

FIPS: county FIPS code.

plantYear: planted year.

yieldPRISM: theoretical mature annual yield from PRISM. This value can be found in the PRISM yield table, and it is used in this yield calculation.

harvestEfficiency: harvest efficiency for the crop.

scenarioFactor: sum of the yield improvements up through the planting year based on the scenario.

harvestYear: harvest year.

harvestAge: harvest age.

yield: this yield is calculated by multiplying the PRISM yield, harvest efficiency, scenario factor as a function of the year it was planted, and average annual yield factor. The MAI yield is calculated by multiplying the PRISM yield, harvest efficiency, scenario factor as a function of the year it was planted, and average annual yield factor.

yieldUnit: yield value unit.

_id_: Identifier



5) Solution Yield by Scenario

This dataset provides the calculated yield from POLYSYS output files for energy resources. It has been divided into two files:

Files: agyield_solution_herb.csv.zip, agyield_solution_srwc.csv.zip,



The solution yield is derived from POLYSYS solution output files. The yield for each resource, simulation, and year is calculated by dividing the total amount harvested ("PRODUCTION") by the total acres harvested ("HARVEST") from the POLYSYS production files:

Yield [scenario, year] = Tons harvested [year] / Acres harvested [year]

This dataset includes the scenarios for each price for the Low, Medium, and High scenarios.

Field definitions are as follows:

resource: crop or resource.

siml: scenario ran including price offered.

year: simulation year.

FIPS: county FIPS code.

footprintArea: total footprint area of the resource that simulation year.

harvestedArea: total area harvested of the resource that simulation year.

production: amount of feedstock harvested that simulation year.

yield: comes from POLYSYS solution output and is calculated annually by taking the production quantity divided by the harvested area.

landSource: land source.

footprintAreaUnit: footprint area unit.

harvestedAreaUnit: harvested area units.

productionUnit: production quantity units.

yieldUnit: yield value unit.

_id_: identifier.



Definitions

Harvest Efficiency refers to the portion of total yield that is successfully harvested, accounting for losses due to harvesting methods. It is used to adjust the yield calculation by reflecting the actual amount of feedstock that could be harvested from the potential yield.

Annual Yield Factor refers to a multiplier used in yield calculations to adjust the total yield based on the age of the crop at the time of harvest. It reflects the expected changes in crop productivity as the crop matures, modifying the yield for each specific harvest age throughout the crop’s total rotation.

Average Annual Yield Factor is a factor used to account for the average yield over the entire rotation period of the crop, considering variations in yield across different harvest ages. It averages the yield factors for each year of the crop's rotation to estimate the overall yield potential over the rotation.





References

Daly, Christopher, Michael D. Halbleib, David B. Hannaway, and Laurence M. Eaton. “Environmental Limitation Mapping of Potential Biomass Resources across the Conterminous United States.” GCB Bioenergy, no. 10 (2018): 717–34. https://doi.org/10.1111/gcbb.12496.

Lee, Do Kyoung, Ezra Aberle, Eric K. Anderson, William Anderson, Brian S. Baldwin, David Baltensperger, Michael Barrett, et al. “Biomass Production of Herbaceous Energy Crops in the United States: Field Trial Results and Yield Potential Maps from the Multiyear Regional Feedstock Partnership.” GCB Bioenergy 10, no. 10 (2018): 698–716. https://doi.org/10.1111/gcbb.12493.

Volk, T. A., B. Berguson, C. Daly, M. Halbleib, R. Miller, T. Rials, L. Abrahamson, et al. “Poplar and Shrub Willow Energy Crops in the United States: Field Trial Results from the Multiyear Regional Feedstock Partnership and Yield Potential Maps Based on the PRISM-ELM Model.” GCB Bioenergy, 2018. https://doi.org/10.1111/gcbb.12498.

USDOE. “High-Yield Scenario Workshop Series,” 2009. INL/EXT-10-20074. https://bioenergy.inl.gov/SitePages/High-Yield%20Scenario%20Workshop.aspx

Agri_crop.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural crop.
prod: This indicates the total production of the agricultural crop in biomass dry ton.
plnt: This indicates the total planted area in acres.
harv: This indicates the total harvested area in acres.
Agri_resd.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural residue.
total_resd: This indicates the in-field production of residue excluding grain in biomass dry ton.
prod: This indicates the total production of harvested residue in the scenario in biomass dry ton.
harv: This indicates the total harvested area in acres.

Agcrop.csv is a file that holds the following variables:
fips: This indicates the geographically defined variable corresponding to counties in the form of a 5-digit code.
state: This indicates the abbreviation for the state name.
county: This indicates the county name.
state_name: This indicates the part of the fips which represents the state.
sqmi: This indicates the total area of the county in square miles including water.
usdaregion: This indicates the US Department of Agriculture defined region.
geog_src_name: This indicates the name of the source of the feedstock.
model_name: This indicates the model name which describes the acronym of the tool or dataset used to simulate feedstock supply.
class_name: This indicates the feedstock class name to denote land source or analysis source corresponding to the 2023 Billion-Ton report.
subclass_name: This indicates the feedstock subclass name.
resource_name: This indicates the feedstock resource name.
scenario_name: This indicates the scenario name as defined in the 2023 Billion-Ton report or other customized scenarios.
prc_ofr: This indicates the price offered.
harv: This indicates the harvested area.
prod: This indicates the amount of resource modeled as produced under the scenario simulation.
produnit: This indicates the unit of production specified.
price: This indicates the price per unit of production.
landsrce: This indicates the land source.

Agresid.csv is a file that holds the following variables:
fips: This indicates the geographically defined variable corresponding to counties in the form of a 5-digit code.
state: This indicates the abbreviation for the state name.
county: This indicates the county name.
state_name: This indicates the part of the fips which represents the state.
sqmi: This indicates the total area of the county in square miles including water.
usdaregion: This indicates the US Department of Agriculture defined region.
geog_src_name: This indicates the name of the source of the feedstock.
model_name: This indicates the model name which describes the acronym of the tool or dataset used to simulate feedstock supply.
class_name: This indicates the feedstock class name to denote land source or analysis source corresponding to the 2023 Billion-Ton report.
subclass_name: This indicates the feedstock subclass name.
resource_name: This indicates the feedstock resource name.
scenario_name: This indicates the scenario name as defined in the 2023 Billion-Ton report or other customized scenarios.
prc_ofr: This indicates the price offered.
harv: This indicates the harvested area.
prod_totl: This indicates the total amount of resource modeled as produced under the scenario simulation.
prod: This indicates the amount of resource modeled as produced under the scenario simulation.
produnit: This indicates the unit of production specified.
price: This indicates the price per unit of production.
Landsrce: This indicates the land source.

This dataset was compiled through an inventory and review of current sources of data and biomass resource assessments, including recent (since 2018) national, regional, and global assessments. See individual citations within the dataset.

material_class: This indicates the label to denote land source or analysis source corresponding to the forest land chapter of the 2023 Billion-Ton Report.
subclass: This indicates the class of biomass.
resource_name: This indicates the type of resource.
diacls: This indicates the class of tree diameter. Class 1 has a diameter at breast height (DBH) that is greater than 11-inch, Class 2 has a DBH that is between 5- and 11-inch, and Class 3 has a DBH that is less than 5-inch.
owner: This indicates the owner such as public, private, and null or unknown.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
county: This indicates the name of the county.
state: This indicates the name of the state.
County square Miles: This indicates the total area of the county in square miles including water.
scenario_name: This indicates the name of the scenario defined in the 2023 Billion-Ton Report. “mm” indicates mature market scenario, and it also contains “low”, “high”, and “emerging” scenarios.
scenario_price_offered: This indicates a price offered for a ton of biomass.
production: This indicates the total production of the forestry biomass in dry ton.
production_unit: This indicates the unit of production.
production_energy_content: This indicates the total energy contents in BTU which is production tons multiplied by BTU/ton.
energy_content_unit: This indicates the unit of energy content.
production_density_dtpersqmi: This indicates a production divided by the total area of the county.
harvest_costs: This indicates the cost of harvesting.
harvest_area: This indicates the total harvested area in acres.
harv_area_unit: This indicates the unit of harvested area.
lipid_based: This indicates either the biomass is based on lipid or not.
ash_percentage: This indicates the content of ash in percentage.

Class: This indicates the land source or analysis source corresponding to the agricultural chapter of 2023 Billion-Ton Report.
Subclass: This indicates the class of biomass crop.
Resource: This indicates the type of agricultural crop.
Fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
County: This indicates the name of the county.
State_name: This indicates the name of the state.
Usdaregion: This indicates United States Department of Agriculture Region as specified.
Sqmi: This indicates the total area of the county in square miles including water.
Till: This indicates the tillage class. “NT” indicates no tillage, “RT” indicates reduced tillage, and “CT” indicates conventional tillage.
Model_name: This indicates the source of data from the Policy Analysis System (POLYSYS) model.
Scenario_name: This indicates the name of the scenario defined in the 2023 Billion-Ton Report. “mm” indicates mature market scenario, and it also contains “low”, “high”, and “emerging” scenarios.
Prc_ofr: This indicates a price offered for a ton of biomass.
Prod: This indicates the total production of the agricultural crop in biomass dry ton.
Harvest: This indicates the total harvested area in acres.
Yield_at_harverst: This indicates the yield with corresponding units at the time of harvest.
Mean_annual_yield_at_harvest: This indicates the mean annual yield at this time of harvest with defined units.
Produnit: This indicates the unit of production.
Yldunit: This indicates the unit of yield.
Btu_ton: This indicates the energy contents in British Thermal Unit (BTU) per biomass dry ton.
Production_energy_content: This indicates the total energy contents in BTU which is production tons multiplied by BTU/ton.
Energy_content_unit: This indicates the unit of energy content.
Prodens_dtpersqmi: This indicates a production divided by the total area of the county.
Landsrce: This indicates the type of agricultural land defined at onset of simulation.
Year: This indicates the year.
Rotation: This indicates the defined rotation of relevant resources (oilseeds) modeled in the Policy Analysis System (POLYSYS) model.